September 5, 2025Geocarto InternationalOpen Access

GIS-based flood vulnerability mapping in a tropical river basin using analytical hierarchy process (AHP) and machine learning approach

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This analysis determines flood risk zones using AHP and machine learning in a tropical river basin, highlighting potential mitigation strategies.

The study classified flood risk zones into very high, high, moderate, low, and very low categories.
Using the AHP method, key flood-conditioning factors were assigned weightage for accurate mapping.
Machine learning models achieved high accuracy, with the Random Bagging model obtaining an AUC-ROC of 0.985.
Findings may help authorities formulate effective flood mitigation strategies to align with Sustainable Development Goals.

Nair et al. (2025) studied this question.

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This analysis determines flood risk zones using AHP and machine learning in a tropical river basin, highlighting potential mitigation strategies.